Why Forecasting Is Not Broken, but Your Data Systems & AI Misuse Are the Problem with Alex Brower

Why Forecasting Is Not Broken, but Your Data Systems & AI Misuse Are the Problem with Alex Brower22 Jul21 min

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In this episode of Future Finance, host Paul Barnhurst and co-host Glenn Hopper are joined by guest Alex Brower, co-founder and CEO of QFlow.ai, to explore why forecasting problems often begin with the data layer. They discuss data plumbing, semantic alignment, Model Context Protocols (MCPs), vibe coding, and how finance and go-to-market teams can work from shared definitions to improve forecast quality and analysis.

Alex Brower is the co-founder and CEO of QFlow.ai, helping finance and go-to-market teams connect data, improve forecast accuracy, and boost analyst productivity by up to five times. He previously led finance and marketing at high-growth tech firms like AppTelligent (acquired by VMware) and Cloud Academy (acquired by QA).

In this episode, you will discover:

How data hygiene and shared definitions improve forecastingWhy unified data alone does not solve business alignment issuesMCP vs semantic layers for reliable analysisThe risks of untested AI-generated analysisWhy AI cost and governance matter

Alex explains how QFlow helps companies prepare data, run planning workflows, and turn analysis into board-ready stories.